Introduction. This article provides the results of the analysis of metaphorical models in order, identifying the specifics of the metaphorical representation of the police of Kazakhstan in Russian and English Internet discourse. Purpose. The article purpose is to conduct a comparative analysis and identify the specifics of the metaphorical representation of the police of Kazakhstan in the Russian and English Internet discourse. Materials and methods. The analysis included Russian-language and English-language comments of the Internet discourse dedicated to the January protests in Kazakhstan in 2022. To objectify the linguistic material under consideration, information and analytical portals with different political orientations were used (from pro-government and “neutral” to those that according to recent changes received the status of “foreign agents”). The applied methods are comparison, contrast, analysis, description, cognitive-discursive, component and contextual analyses. Results, discussion. Based on the results of considering the reaction of ordinary network users in the Russian-language comments of the Internet discourse to the protests in Kazakhstan in 2022, 5 most common trends in the metaphorical representation of the police were identified. Thus, in the Russian-speaking segment of the network law enforcement agencies are perceived as compatriots, the opposing side, the “right” side in the conflict, cowardice, dysfunction. The English-speaking segment of the Internet discourse, like the Russian-speaking one, is represented by the metaphorical models “police are compatriots”, “police are the opposing side”, and also “victims, tormentors, helplessness”. Conclusion. Despite the predominance of a negative vector of perception it seems possible to highlight the atypical situation during the protests when some law enforcement officers went over to the side of the protesters refusing to interfere with raging people. Such behavior impressed both “online observers” around the world and the participants themselves which caused a flurry of approval in the comments on the video broadcasts of events and in the news channels of some instant messengers (for example, Telegram with commentaries allowed) in both the Russian and English language segments of the network.